A deep learning framework combines convolutional and bidirectional recurrent networks to improve protein function prediction from genomic ...

Sequence analysis is a cornerstone of modern bioinformatics, encompassing the computational exploration of biological sequences—be they DNA, RNA or proteins—to reveal insights into structure, function ...

A new collaboration brings together a world-leading interdisciplinary team with skills across quantum computing, genomics, and advanced algorithms. They aim to tackle one of the most challenging ...

Genetic variants that cause rare disorders may remain elusive even after expansive testing, such as exome sequencing. The diagnostic yield of genome sequencing, particularly after a negative ...

A whole-genome sequencing approach shows early promise over current commercial methods for identifying more patients likely to benefit from PARP inhibitor cancer treatments, according to a study led ...

Morgan Hiebert (left) studies drug-resistant tuberculosis within the National Reference Centre for Mycobacteriology (Winnipeg, Manitoba) led by Hafid Soualhine, situated in the National Microbiology ...

In a recent study published in Nature Communications, researchers proposed a simplified approach for analyzing messenger ribonucleic acid (mRNA) vaccines using long-read sequencing. Messenger RNA ...

Yet, this task is far from straightforward. Inference methods vary widely in sensitivity, specificity, and robustness, and the lack of systematic evaluation has left researchers guessing which tool to ...

Key opportunities lie in next-generation sequencing methods, with hospitals as major end-users and North America as a dominant region RNA Sequencing Service Market RNA Sequencing Service Market Dublin ...